BigQuery Fundamentals for Snowflake Professionals from Coursera

What's inside

Syllabus

BigQuery Architecture and Resource Provisioning

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.

BigQuery Data Definition Model

This module summarizes the key details of BigQuery’s resource hierarchy and data definition model, including how to create datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between the Snowflake and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.

BigQuery and Google Cloud IAM

This module summarizes the key details of the Google Cloud Identity and Access Management (IAM) model, including how roles and permissions are applied to datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in roles and permissions between Snowflake and BigQuery to help you start securing and sharing your data in BigQuery.

BigQuery Data Ingestion

This module summarizes the primary options and best practices for ingesting data into BigQuery, including batch data loading, streaming ingestion, and queries to external data sources. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in data ingestion options between Snowflake and BigQuery to help you start reading and loading your data into BigQuery.

BigQuery Schema Design and Optimization

This module summarizes common patterns and best practices for designing and optimizing table schemas in BigQuery, including the use of nested and repeated fields, partitioning, and clustering. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in schema usage and design between Snowflake and BigQuery to help you start structuring and optimizing your data in BigQuery.

SQL in BigQuery

This module summarizes the key features and operations of the Google Standard SQL dialect used in BigQuery and best practices for optimizing query performance and controlling costs in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Snowflake and BigQuery to help you start running and optimizing queries in BigQuery.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Shares similarities with Snowflake, offering an easy transition for experienced SQL users

Focuses on BigQuery fundamentals, making it suitable for beginners new to BigQuery

Taught by Google Cloud Training, known for their expertise in the cloud domain

Covers key concepts like data ingestion, SQL optimization, and schema design

Interactive labs and hands-on exercises provide practical experience

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in BigQuery Fundamentals for Snowflake Professionals with these activities:

Review Database Architecture

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Performing a quick review of database architecture will allow you to better understand the way BigQuery stores and processes your data.

Browse courses on Database Architecture

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Read through a couple of chapters in a database architecture book
Create a simple database architecture diagram

Review SQL Commands

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Reviewing SQL commands will allow you to feel more comfortable working with BigQuery's SQL implementation.

Browse courses on SQL

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Review an online tutorial on SQL
Attempt a few practice problems on LeetCode or a similar platform
Write a few SQL queries to practice your skills

Follow Along With BigQuery Tutorial for Beginners

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BigQuery provides some beginner-friendly tutorials that can help you get started with using the platform.

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Navigate to the following URL: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries
Follow the instructions in the tutorial to create a BigQuery client library in your preferred language
Run the sample code provided in the tutorial

Two other activities

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Complete a Set of BigQuery Practice Problems

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Working through practice problems will help you solidify your understanding of BigQuery's features and functionality.

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Find a set of practice problems online or in a book
Attempt to solve the problems on your own
Check your answers against the provided solutions

Create a Blog Post on Using BigQuery

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Writing a blog post will help you to synthesize your knowledge of BigQuery and share what you've learned with others.

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Choose a topic that you're interested in writing about
Research your topic and gather your thoughts
Write a draft of your blog post
Edit and revise your blog post
Publish your blog post

Career center

Learners who complete BigQuery Fundamentals for Snowflake Professionals will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator manages and maintains databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Database Administrator

Data Analyst

A Data Analyst studies and assesses data to help organizations make informed decisions. This course can help someone interested in this field because the skills learned, such as data ingestion, schema design, and SQL optimization, are all essential for managing and analyzing large datasets in BigQuery. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Analyst

Data Scientist / Machine Learning Engineer

A Data Scientist / Machine Learning Engineer uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists / Machine Learning Engineers build efficient and cost-effective models and pipelines.

See salaries and explore the career path for Data Scientist / Machine Learning Engineer

Data Scientist

A Data Scientist uses data to build predictive models and solve business problems. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Scientists build efficient and cost-effective models.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

A Business Intelligence Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Intelligence Analysts build efficient and cost-effective dashboards and reports.

See salaries and explore the career path for Business Intelligence Analyst

Database Developer

A Database Developer designs and builds databases. This course can help someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Database Developer

Business Analyst

A Business Analyst uses data to identify trends and patterns that can help organizations make better decisions. This course can help someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Business Analysts build efficient and cost-effective dashboards and reports.

See salaries and explore the career path for Business Analyst

Data Engineer

A Data Engineer builds and maintains the infrastructure that supports data analytics. This course may be useful for someone interested in this field because the skills learned, such as resource provisioning and workload management, are essential for ensuring the efficient and reliable operation of a BigQuery data warehouse. Moreover, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Engineer

Data Warehouse Architect

A Data Warehouse Architect designs and builds data warehouses. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Warehouse Architect

Cloud Data Engineer

A Cloud Data Engineer designs and builds cloud data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Cloud Data Engineer

Cloud Architect

A Cloud Architect designs and builds cloud computing solutions. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Software Engineers build efficient and cost-effective data pipelines and applications.

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Data Integration Engineer

A Data Integration Engineer designs and builds data integration solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Data Integration Engineers build efficient and cost-effective data pipelines and integrations.

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Big Data Engineer

A Big Data Engineer designs and builds big data solutions. This course may be useful for someone interested in this field because it provides the skills necessary to access, clean, and transform data in BigQuery. Additionally, the course's emphasis on SQL optimization and cost control can help Big Data Engineers build efficient and cost-effective data pipelines and applications.

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Data Governance Analyst

A Data Governance Analyst develops and implements data governance policies and procedures. This course may be useful for someone interested in this field because it provides the skills necessary to provision resources, create and share data assets, and optimize query performance in BigQuery. Additionally, the course's emphasis on the similarities and differences between Snowflake and BigQuery can be particularly helpful for professionals transitioning from Snowflake to BigQuery.

See salaries and explore the career path for Data Governance Analyst